Scheduling Theory and Algorithms for Sustainable Manufacturing

Dear Colleagues,

This Special Issue was initiated at the 10th IFAC triennial conference MIM 2022 (https://hub.imt-atlantique.fr/mim2022/) concerning the topics of combinatorial optimization and scheduling and corresponding sessions and tracks.

Following their presentation at the conference, some authors were invited to submit an extended version of their work to this Special Issue. However, the Special Issue is also open to papers that were not presented at the conference if they are in the scope of the issue.

The aim of this Special Issue is to present state-of-the art mathematical models and algorithms providing efficient solutions for practical planning and scheduling issues in sustainable manufacturing and logistics. Currently, the production and logistics systems for goods and services are faced with both production cost optimization and scarcity of resources. Scheduling plays a central role and offers the possibility to:

• Reduce production waste,
• Manage efficiently and limit the consumption of material resources and energy,
• use efficiently new energy sources, especially renewable ones.

Potential topics to be addressed in this issue on the contributions of scheduling theory and algorithm for sustainable manufacturing include, but are not limited to, the following:

• Consideration of energy constraints in scheduling and planning;
• Green scheduling approaches in Industry 4.0;
• Advanced scheduling and planning algorithms for minimization of waste;
• Contributions of scheduling and planning theory for minimization of the carbon emissions;
• Multi-objective scheduling problems taking into account the sustainability criteria.
• Exact and approximate models and methods for sustainable scheduling and planning;
• Industrial applications of advanced scheduling and planning algorithms.

Prof. Dr. Alexandre Dolgui
Prof. Dr. David Lemoine
Dr. María I. Restrepo
Prof. Dr. Frank Werner
Guest Editors

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